Top 5 Data Pitfalls to Avoid in Oncology Trials
The life sciences industry has seen a dramatic acceleration in digitization and technology adoption over the past two years, with many technical capabilities being embraced at scale. This acceleration along with the influx in data sources has made it difficult to conduct well-controlled oncology trials.
This webinar will explore the Top 5 Data Pitfalls to Avoid in Oncology Trials to help your drug development teams make decisions with accuracy and confidence to ensure patient safety, optimize resources, and enhance productivity while adhering to GCP standards and keeping patients engaged in your clinical trials.
What You Will Learn
- Preparation: How to build a satisfactory oncology trial and best practices
- How empowering a drug development team with a modern technology platform can help eliminate data pitfalls
- Building flexibilities with precision medicine
Who Should Attend?
- Data Management
- Clinical Operations
- Medical Monitors
- Clinical R&D IT Professionals
- Biostats/Data Sciences
- Clinical Programmers
Grant Williamson has 15 years of experience in clinical programming and data management. As the Sr. Director, Clinical Programming at eClinical Solutions, he drives the combination of technology and clinical development expertise to guide life science companies through the optimal design, implementation, and use of all their data capture systems.